Otero Felipe, Noelia; Horton, Pascal (2022). Deep-S2SWind: A data-driven approach for improving Sub-seasonal wind predictions (Unpublished). In: Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022.
Item Type: |
Conference or Workshop Item (Abstract) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Geography > Physical Geography > Unit Hydrology 08 Faculty of Science > Institute of Geography > Physical Geography > Unit Impact 10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) |
UniBE Contributor: |
Otero Felipe, Noelia, Horton, Pascal |
Subjects: |
500 Science > 550 Earth sciences & geology |
Language: |
English |
Submitter: |
Pascal Horton |
Date Deposited: |
17 Jan 2024 09:30 |
Last Modified: |
17 Jan 2024 09:30 |
URI: |
https://boris.unibe.ch/id/eprint/191702 |
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